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OPSY 5315 RAO EXAM 2 EXAM TEST BANK NEWEST 2025/2026
ACTUAL EXAM WITH COMPLETE QUESTIONS AND CORRECT
DETAILED ANSWERS (100% VERIFIED ANSWERS) |ALREADY
GRADED A+| ||PROFESSOR VERIFIED||
Three popular measures of forecast accuracy are:
a. total error, average error, and mean error
b. average error, median error, and maximum error
c. median error, minimum error, and maximum absolute error
d. mean absolute deviation, mean squared error, and mean
absolute percent error - ANSWERS-mean absolute deviation,
mean squared error, and mean absolute percent error
Average demand for iPods in the Rome, Italy, Apple store is 800
units per month. The May monthly index is 1.25. What is the
seasonally adjusted sales forecast for May?
a. 640 units
b. 798.75 units
c. 800 units
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d. 1,000 units
e. cannot be calculated with the information given - ANSWERS-
1,000 units
The main difference between simple and multiple regression is
__________. - ANSWERS-simple regression has only one
independent variable
The tracking signal is the:
a. Standard error of the estimate
b. cumulative error
c. mean absolute deviation (MAD)
d. ratio of the cumulative error to MAD
e. mean absolute percent error (MAPE) - ANSWERS-ratio of the
cumulative error to MAD
Time-series patterns that repeat themselves after a period of days
or weeks are called __________
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a. cycles
b. seasonality
c. trends - ANSWERS-seasonality
Which of the following smoothing constants would make an
exponential smoothing forecast equivalent to a naïve forecast?
a. .5
b. 1.0
c. 0 - ANSWERS-1.0
Which of the following statements about time-series forecasting is
true?
a. It is based on the assumption that the analysis of past demand
helps predict future demand.
b. It is based on the assumption that future demand will be the
same as past demand.
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c. Because it accounts for trends, cycles, and seasonal patterns,
it is always more powerful than associative forecasting. -
ANSWERS-It is based on the assumption that the analysis of past
demand helps predict future demand.
Which time-series model assumes that demand in the next period
will be equal to the most recent period's demand?
a. Moving average approach
b. Naïve approach
c. Exponential smoothing approach - ANSWERS-Naïve approach
The degree or strength of a relationship between two variables is
shown by the__________
a. mean absolute deviation
b. alpha
c. correlation coefficient - ANSWERS-correlation coefficient
OPSY 5315 RAO EXAM 2 EXAM TEST BANK NEWEST 2025/2026
ACTUAL EXAM WITH COMPLETE QUESTIONS AND CORRECT
DETAILED ANSWERS (100% VERIFIED ANSWERS) |ALREADY
GRADED A+| ||PROFESSOR VERIFIED||
Three popular measures of forecast accuracy are:
a. total error, average error, and mean error
b. average error, median error, and maximum error
c. median error, minimum error, and maximum absolute error
d. mean absolute deviation, mean squared error, and mean
absolute percent error - ANSWERS-mean absolute deviation,
mean squared error, and mean absolute percent error
Average demand for iPods in the Rome, Italy, Apple store is 800
units per month. The May monthly index is 1.25. What is the
seasonally adjusted sales forecast for May?
a. 640 units
b. 798.75 units
c. 800 units
,2|Page
d. 1,000 units
e. cannot be calculated with the information given - ANSWERS-
1,000 units
The main difference between simple and multiple regression is
__________. - ANSWERS-simple regression has only one
independent variable
The tracking signal is the:
a. Standard error of the estimate
b. cumulative error
c. mean absolute deviation (MAD)
d. ratio of the cumulative error to MAD
e. mean absolute percent error (MAPE) - ANSWERS-ratio of the
cumulative error to MAD
Time-series patterns that repeat themselves after a period of days
or weeks are called __________
,3|Page
a. cycles
b. seasonality
c. trends - ANSWERS-seasonality
Which of the following smoothing constants would make an
exponential smoothing forecast equivalent to a naïve forecast?
a. .5
b. 1.0
c. 0 - ANSWERS-1.0
Which of the following statements about time-series forecasting is
true?
a. It is based on the assumption that the analysis of past demand
helps predict future demand.
b. It is based on the assumption that future demand will be the
same as past demand.
, 4|Page
c. Because it accounts for trends, cycles, and seasonal patterns,
it is always more powerful than associative forecasting. -
ANSWERS-It is based on the assumption that the analysis of past
demand helps predict future demand.
Which time-series model assumes that demand in the next period
will be equal to the most recent period's demand?
a. Moving average approach
b. Naïve approach
c. Exponential smoothing approach - ANSWERS-Naïve approach
The degree or strength of a relationship between two variables is
shown by the__________
a. mean absolute deviation
b. alpha
c. correlation coefficient - ANSWERS-correlation coefficient
